Evaluation of the impact of COVID-19 pandemic on hospital admission related to common infections: Risk prediction models to tackle antimicrobial resistance in primary care. by Ali Fahmi, Victoria Palin, Xiaomin Zhong, Ya-Ting Yang, Simon Watts, Darren M Ashcroft, Ben Goldacre, Brian MacKenna, Louis Fisher, Jon Massey, Amir Mehrkar, Seb Bacon, OpenSAFELY Collaborative, Kieran Hand, Tjeerd Pieter van Staa

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Development and validation of an improved prediction model for vaginal birth after previous cesarean section: a retrospective cohort study of a Chinese population by Haiyan Liu, Yi Yu, Xiaoyue Zhang, Jiangnan Pei, Yao Tang, Rong Hu, Weirong Gu

“…Internal validation performed by bootstrap resampling, calibration curves, and Hosmer-Lemeshow test confirmed the model’s robust performance. An optimal predicted probability cut-off of 0.7 was identified by decision curve analysis and clinical considerations.Conclusions The improved predictive VBAC model exhibited adequate performance such that women with a prior low transverse cesarean delivery who scored 0.7 or higher (in the model-derived probability score) would consider TOLAC, potentially leading to a reduction in maternal-neonatal morbidity.Registration The study was approved by the Ethical Committee of Obstetrics and Gynecology Hospital, Fudan University (2018-43) and was registered in the Chinese Clinical Trial Registry (ChiCTR1900022484), https://www.chictr.org.cn/showproj.html?…”
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Multimodal imaging deep learning model for predicting extraprostatic extension in prostate cancer using MpMRI and 18 F-PSMA-PET/CT by Fei Yao, Heng Lin, Ying-Nan Xue, Yuan-Di Zhuang, Shu-Ying Bian, Ya-Yun Zhang, Yun-Jun Yang, Ke-Hua Pan

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Weakly-consolidated sandstone fracture conductivity under combined action of compressing, proppant embedding and fines plugging: experiments, model and application by Guolong Li, Changyin Dong, Haobin Bai, Yaotu Han, Qilong Zhang

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Predicting patient outcomes and risk for revision surgery after hip and knee replacement surgery: study protocol for a comparison of modelling approaches using the Swiss National J... by Léonie Hofstetter, Nathalie Schweyckart, Christof Seiler, Christian Brand, Laura C. Rosella, Mazda Farshad, Milo A. Puhan, Cesar A. Hincapié

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Advanced Machine Learning Techniques for Predicting Concrete Compressive Strength by Mohammad Saleh Nikoopayan Tak, Yanxiao Feng, Mohamed Mahgoub

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Enhancing land use planning through integrating landscape analysis and flood inundation prediction Bekasi City’s in 2030 by Novia Fitriyati, Hadi Susilo Arifin, R. L. Kaswanto, Marimin

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Advanced Energy Management for Residential Buildings Optimizing Costs and Efficiency Through Thermal Energy Storage and Predictive Control by Ricardo Felez, Jesus Felez

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Development and validation of a LASSO logistic regression based nomogram for predicting live births in women with polycystic ovary syndrome: a retrospective cohort study by Yue Liu, Jingshu Gao, Hang Ge, Hang Ge, Jiaxing Feng, Yu Wang, Xiaoke Wu, Xiaoke Wu

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Predicting Soccer Player Salaries with Both Traditional and Automated Machine Learning Approaches by Davronbek Malikov, Pilsu Jung, Jaeho Kim

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Advanced Decision Making and Motion Planning Framework for Autonomous Navigation in Unsignalized Intersections by Gunasekaran Raja, Kathiroli Raja, Madhan Raj Kanagarathinam, Jeyadev Needhidevan, Priyadarshni Vasudevan

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Modeling Fenton Treatment for Landfill Leachate with the Focus on Initial COD and Sludge Generation by Nader BiglariJoo, Amin Shams, Vahid Hadipour

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Distributionally Robust Optimal Scheduling for Integrated Energy System Based on Dynamic Hydrogen Blending Strategy by Yixiao Xiao, Qianhua Xiao, Keyu Wang, Xiaohui Yang, Yan Zhang

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The Correlation of Microscopic Particle Components and Prediction of the Compressive Strength of Fly-Ash-Based Bubble Lightweight Soil by Yaqiang Shi, Hao Li, Hongzhao Li, Zhiming Yuan, Wenjun Zhang, Like Niu, Xu Zhang

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Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm by Sanglin Zhao, Zhetong Li, Hao Deng, Xing You, Jiaang Tong, Bingkun Yuan, Zihao Zeng

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The consequences of changes in forest land cover in the Alpine and Jurassic massifs on the physico-chemical status of deep lake waters by Van Tuan Nghiem, Rachid Nedjai, Nacer Nasreddine Messaoud

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New approach to predict wastewater quality for irrigation utilizing integrated indexical approaches and hyperspectral reflectance measurements supported with multivariate analysis by Mohamed Gad, Reda Abd El Hamed, Ezzat A. El Fadaly, Ibrahim E. Mousa, Aissam Gaagai, Hani Amir Aouissi, Mohamed Hamdy Eid, Mostafa R. Abukhadra, Haifa A. Alqhtani, Ahmed A. Allam, Salah Elsayed

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Multi‐Satellite Data Assimilation for Large‐Scale Hydrological‐Hydrodynamic Prediction: Proof of Concept in the Amazon Basin by S. Wongchuig, R. Paiva, V. Siqueira, F. Papa, A. Fleischmann, S. Biancamaria, A. Paris, M. Parrens, A. Al Bitar

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Prediction of Urban Construction Land Carbon Effects (UCLCE) Using BP Neural Network Model: A Case Study of Changxing, Zhejiang Province, China by Qinghua Liao, Xiaoping Zhang, Zixuan Cui, Xunxi Yin

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Analyzing the use of fact-checking tools in disaster-risk reduction in Europe through the lens of the heuristic-systematic model by Nadejda Komendantova, Tahereh Zobeidi, Masoud Yazdanpanah

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